ScopeMaster – Release History
Release 2.6.1 January 2021
- Value Tracer – added estimated Cost of Delay and Weighted Shortest Job First.
- Improved story builder
- API enhanced with an option to get glossary items (see documentation)
Release 2.6 January 2021
- New Value Tracer – ensure that your user stories align to real business value. Learn more about the Value Tracer. The value tracer also creates product breakdown visualisations so you can verify that your user stories are valuable.
- Improvements to organising user stories by label
Release 2.4.4 November 2020
Minor bug fixes
- Export now includes quality score
- Requirements view usability improvements
- Fix to language setting
- Story Analyser for Jira
- Minor fixes (thanks to Dr Simon Wright)
Release 2.4 October 2020
This update brings significant improvements to the Story Analyser for Jira.
- Minor fixes. (added scan and attach to English analyser engine).
- Story Analyser for Jira
- Introducing the CRUD Matrix – auto generated, for finding missing stories
- Improvements to the user experience, performance and scalability
Story Analyser automatically sizes you stories in ISO standard COSMIC Function Points
Story Analyser Now Automates CRUD Analysis, with the autogenerated CRUD Matrix to help find missing and duplicate user stories.
Release 2.3 August 2020
- Further scaling and performance improvements for very large projects
- Story Analyser for Jira (Cloud)
- Upgraded to provide much greater value to the user
- UI bug fixes
Release 2.2 July 2020
- Improvements to handling larger projects of 1,000 requirements or more.
- Deprecation of the value tracer.
- Experimental – build a class diagram from user stories in just a few minutes.
- Minor bug fixes
- Saving an app sometimes reset the language setting.
Release 2.1 June 2020
- New auto generated network diagrams
- New track quality and size over time
- Various minor improvements
Release 2.0 June 2020
- Sizer NEW
- Introducing Sizer – a new capability for fast and easy functional sizing. Supports all leading functional size methodologies: IFPUG, COSMIC, Nesma and more. Ideal for benchmarking, scope management and requirements auditing. Currently, free to use.
- Achieve clear, unambiguous user stories faster. You can now override ScopeMaster’s analyser and use curly braces to nominate specific words as
- Portfolio-wide search improvements. Perform analysis across a portfolio of applications for impact analysis, technical debt identification and architectural complexity analysis.
- Scalability and performance improvements.
- Many usability improvements throughout.
Release 1.9.8 May 2020
- Beta availability of a new capability for fast and easy functional sizing in any of the following methodologies: Nesma, IFPUG, COSMIC and more.
- Improved user experience
- Scalability and performance improvements
- Search improvements
Release 1.9.7 May 2020
- Foundations for a new capability
- Improved user experience
Release 1.9.6 April 2020
- New world class hosting brings improvements across many areas:
- Auto scaling
- Secure private cloud infrastructure
- Improved resilience
- Improved performance
- Improved monitoring
- Improved user experience
Release 1.9.3 February 2020
- New Support for user stories in Italian (another world first)
- Improved printing
- Improved support for direct synchronisation with Azure Devops
Release 1.9.2 January 2020
- 100 more automated requirements tests
- Quality Score for every requirement now available in the REST API
- Stability and presentation improvements
Release 1.9 December 30th 2019
- NEW requirements quality framework and over 200 new automated tests for a range of specific problems.
- NEW automated tests of requirements for some potential security flaws.
- NEW benefits field, so that every requirement has a business justification.
- Improved performance and security
- Improved usability and print display
- Added a limit to the text length of the functional user story
- Improvements to Spanish interpretation accuracy
- Modification to synchronisation support changes to the Jira API
Release 1.8.2 November 26th
- NEW REST API, so you can:
- Synchronise user stories with any other tool.
- Embed user story QA as part of any CI/CD routine.
- Extract auto generated test scenarios.
- Use your existing tools to include portfolio and project reporting of functional size and user story QA.
- Check out the API documentation
- Improved Usability (several small improvements)
- Improved documentation at help.scopemaster.com
Release 1.8.1 November 3rd
- NEW Synchronise stories with Azure Devops Services (cloud)
- Improved Usability (many improvements)
- Improved security and stability
Release 1.8 October 27th
- NEW Synchronise stories with Jira Cloud and PivotalTracker
- NEW Experimental support for User Stories written in Portuguese and Spanish
- Improved stability and usability
Release 1.7.4 September 1st
- Revised algorithm allows multiple operations on the same object within a single user story
- Reference / id is used to sequence stories on the main board.
- Additional guidance on improving user stories
- Improved analyser performance
- Improved exporting (Stories, Glossary and Tests)
Release 1.7.3 August 10th
- Improved search functionality – results all sized in CFP
- Improved guidance on home screen
Release 1.7.2 July 29th
- NEW – Functional Tests Cases (downloadable)
- NEW – Glossary of definitions
- NEW – Gamificaiton – It’s fun to create great user stories and achieve 100% quality.
- Allow for Non-functional requirements, Tasks and Constraints
- Navigation improvements to make it faster and easier to improve your user stories.
- Other performance, stability and security improvements
Release 1.6.3 9th July 2019
- UX improvements
- Value Traceability – beta
Release 1.6 , 30th June 2019
- Clearer analysis presentation
- New sequence diagrams
- Option to confirm and specify users and objects.
- New, simpler, bundle-based billing
Release 1.5.2 22 June 2019
- Slice and dice your user stories like never before (by user, by object, by label). New presentation that will help you improve your user stories faster than ever.
Release 1.5.1 15 June 2019
- Upload a CSV file and map your fields dynamically – importing goes from minutes to seconds.
- Related stories – ideal for regression test targeting, a powerful cross correlation of user stories that touch the same object or user; .
- Export now includes CFP values
- Overhaul of the Labelling UX, it’s now easier than ever to label and organise your requirements, for more efficient working.
- Dozens of usability improvements – because it should be intuitive and easy to do good requirements work.
Release 1.4.5 24 May 2019
- User story title is no longer analysed for data movement intent
- Other usability, cosmetic and stability improvements
Pre-Production release 0.88, 25 March 2018
- Improved full screen display and responsive menus
- Improved defects report
- Easy navigation back to recently visited user stories
Pre-Production release 0.87, 17 March 2018
- NEW Sortable, searchable table, ideal for story grooming
- Improved text analysis accuracy
- Simplified defects report
- Improved performance for very large projects
Pre-Production release 0.85, 6 March 2018
- NEW Users can share work with others in their organization.
- NEW Share work at the application level: owners can assign read or edit access to others in their organisation.
- NEW Requirement text within square brackets will be ignored from sizing analysis.
- NEW Requirement export/download as csv.
- Improved IFPUG Function Point estimates, with function-by-function details report.
- Improved text analysis accuracy.
- Improved UI and bug fixes.
- Improved searching
- Improved application performance.
- Improvements to application data security.
- Major improvements to server(s) security.
Beta, 14 December 2017
- analyses the text to describe software requirements
- Interprets user story terminology and common active phrases
- identifies candidate users and objects from the entire body of requirements text
- detects potentially defective requirements – ambiguous
- detects potentially defective requirements – omissions
- detects potentially defective requirements – duplicates
- Identifies functional data movements
- Identifies data to be maintained
- estimates the functional size of the software – in Cosmic Function Points
- provides estimates for: cost to develop, defect potentials, resource requirements and likely schedules.
- Accuracy of functional sizing is currently around 70-80% (Nb. manual accuracy can vary by up to 10%)
- Import by text list or csv
- Ability to take a snapshot track the size progression.
- Portfolio view
Prototype, May 2017
- Import 2 column spreadsheet
- Basic text analysis engine
- Initial CFP structure